Title | ||
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The User's Human Values Scale Methodology in Recommender Systems from Several Information Sources of the Organization |
Abstract | ||
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The main objective of this paper aims at developing a methodology that takes into account the human factor extracted from the several information sources of the organization of the recommender systems. This methodology is capable of extracting the Human Values Scale from the user, with reference to his/her features, in order to improve the adaptation of the Recommender Systems. This research is focused on the analysis of human values scale using the Portrait Values Questionnaire of Schwartz, which can take advantage of the several information sources of the organization through its attributes to define the methodology that response with more exactitude to preferences and interests of the user. This paper presents a demonstration of how the Human Values Scale of a user can be extracted from several information sources of the organization. A case study is presented to apply the methodology, in an effort to extract the user human values scale from bank domains. |
Year | DOI | Venue |
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2008 | 10.1007/978-3-540-88636-5_85 | MICAI |
Keywords | Field | DocType |
information source,information sources,human values scale methodology,recommender system,recommender systems,human factor,user human values scale,portrait values questionnaire,human values scale,case study,main objective,bank domain,human factors | Recommender system,Computer science,Human–computer interaction,Human values | Conference |
Volume | ISSN | Citations |
5317 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Javier Guzmán-obando | 1 | 1 | 1.07 |
Josep Lluís De La Rosa | 2 | 260 | 41.38 |
Silvana Aciar | 3 | 107 | 8.02 |
Miquel Montaner | 4 | 205 | 23.60 |
José A. Castán | 5 | 4 | 1.63 |
Julio Laria | 6 | 0 | 0.34 |